ASAP_SENT
This model is a fine-tuned version of techthiyanes/chinese_sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9208
- Accuracy: 0.5955
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.925 | 1.0 | 1152 | 0.8893 | 0.5927 |
| 0.8375 | 2.0 | 2304 | 0.8942 | 0.5994 |
| 0.8316 | 3.0 | 3456 | 0.9208 | 0.5955 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ndiy/ASAP_SENT
Base model
techthiyanes/chinese_sentiment